[Bugfix] Include entry-point logits processor plugins in output token…#38199
[Bugfix] Include entry-point logits processor plugins in output token…#38199YingxuH wants to merge 2 commits intovllm-project:mainfrom
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This pull request fixes a bug where entry-point logits processor plugins were not correctly enabling output token ID tracking. Previously, the logitsprocs_need_output_token_ids flag was only determined by CLI-passed custom logits processors, leading to -1 placeholders in the output token ID buffer for entry-point plugins. The fix involves modifying the LogitsProcessors class to explicitly track whether any custom (CLI-passed or entry-point) logits processors are loaded via a new has_custom attribute. The build_logitsprocs function is updated to pass this flag, and in gpu_model_runner.py, the logitsprocs_need_output_token_ids flag is now correctly derived from LogitsProcessors.has_custom, ensuring both types of plugins are considered. A new test file test_entrypoint_output_token_tracking.py has been added to verify this corrected behavior. I have no feedback to provide.
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… tracking flag Signed-off-by: YingxuH <yingxu.he1998@gmail.com>
Signed-off-by: YingxuH <yingxu.he1998@gmail.com>
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@njhill Addressed your feedback 8 days ago — is there anything else needed from my side? |
Purpose
Fix entry-point logits processor plugins (
vllm.logits_processorsgroup) being silently ignored when computing thelogitsprocs_need_output_token_idsflag ingpu_model_runner.py.Previously, the flag was derived solely from
bool(custom_logitsprocs), which only reflects CLI-passed processors. Entry-point plugins loaded bybuild_logitsprocs()→_load_logitsprocs_plugins()were not accounted for. When the flag wasFalseand all penalties were neutral (repetition_penalty=1.0), vLLM's async scheduling path filled the output token ID buffer with-1placeholders instead of real tokens, silently breaking any entry-point logits processor that inspects generation history (e.g., n-gram repetition prevention).Changes:
state.py: Addhas_customkeyword-only parameter toLogitsProcessors.__init__(defaults toFalse, backward-compatible).__init__.py:build_logitsprocs()setshas_custom=bool(custom_logitsprocs_classes), wherecustom_logitsprocs_classesincludes both entry-point plugins and CLI-passed processors.gpu_model_runner.py: Extractbuild_logitsprocs()result into a local variable and derive the flag fromlogitsprocs.has_custom or self.vllm_config.reasoning_config is not None.Test Plan
New test file
tests/v1/logits_processors/test_entrypoint_output_token_tracking.pywith 3 test cases, reusing existing mock utilities fromtests/v1/logits_processors/utils.py:Test Result
Built from source on H100 (CUDA 12.8, Python 3.12, PyTorch 2.10):
supported_models.mdandexamplesfor a new model.